By: Sitong Li, Benjamin Deutsch, Maryam Blooki, Emmanuella Eguche, Bryant Leal

Abstract

For this project, machine learning algorithms, natural language processing, and various generative models were used to explore human cognition through storytelling. The analysis explored whether the similarity score of the retold or imagined story would have predictive properties with its corresponding recalled story and whether it is possible to predict if a story is imagined or recalled. The dataset used contains real and imagined stories, a summary of the original story, and a story recall that was observed after some time. The team determined that the dataset is…